A system of rules for transforming programs is described, with the programs in the form of recursion equations An initially very simple, lucid. and hopefully correct program IS transformed into a more efficient one by altering the recursion structure Illustrative examples of program transformations

This paper reports on an optimum dynamic programming (DP) based time-normalization algorithm for spoken word recognition. First, a general principle of time-normalization is given using timewarping function. Then, two time-normalized distance definitions, ded symmetric and asymmetric forms

that is more difficult to understand and reverse engineer. The obfuscator is based on the application of code transformations, in many cases similar to those used by compiler optimizers. We describe a large number of such transformations, classify them, and evaluate them with respect to their potency (To what

optimization, one can attain a modular compiler. It is no surprise that the modularity would increase if transformations are structured, i.e. constructed in a modular way. Indeed, the program transformation in calculational form (or program calculation) can help us to attain this goal.

We describe a translation validation infrastructure for the GNU C compiler. During the compilation the infrastructure compares the intermediate form of the program before and after each compiler pass and verifies the preservation of semantics. We discuss a general framework that the optimizer can

-mine allowable program transformations and optimizations. For example, we can determine that in the following code fragment, no location of the array is both read and written. Once we also verify that no location is written more than once, we know that the writes can be done in any order. for i = 1 to 100 do

tables. In the common case of a program that does not require a lot of memory, all of this can be simplified considerably, with a corresponding reduction in program size and execution time. We have used our link-time code modification system OM to perform program transformations related to global

signing model of a person, a set of shape features and dynamic features are extracted from a set of original signatures. Subsequently, for each distinctive feature, an averaged prototype and a consistency function are calculated using genetic optimization, this procedure derived from our concept

programming; in 1985, a formal connection was established between his method and classical barrier methods. Since then, interior methods have advanced so far, so fast, that their influence has transformed both the theory and practice of constrained optimization. This article provides a condensed, selective

and correlation are considered for the sake of SNR optimization. Optionally, the assessment of receiver noise may be skipped and the represents the superposition of pixels forming a Cartesian grid. In this example four of these pixels are in the full FOV; thus the actual degree of aliasing is four. Fast MRI 953